Method and apparatus for generating data representing digests of pictures

ABSTRACT

Video data pieces are classified into groups according to prescribed rules. A cut number assigned to each of the groups is decided on the basis of the length or lengths of a video data piece or pieces in each of the groups and the number of the video data piece or pieces in each of the groups. A cut or cuts are extracted from the video data piece or pieces in each of the groups. Regarding each of the groups, the number of the extracted cut or cuts is equal to the decided cut number. Digest data is generated from the extracted cuts for all the groups.

This is a continuation of U.S. application Ser. No. 12/232,216 having afiling date of Sep. 12, 2008.

BACKGROUND OF THE INVENTION

1. Field of the Invention

This invention relates to a method and an apparatus for extractingportions of video data pieces to generate data representing digests oforiginal pictures.

2. Description of the Related Art

Japanese patent application publication number 2005-252372 discloses amethod and an apparatus for generating data representing a digest oforiginal pictures. In the method and the apparatus of Japaneseapplication 2005-252372, source video data is periodically sampled atprescribed time intervals to derive successive frames. The derivedsuccessive frames are analyzed to detect the moments of the start ofevery cutting, telop, and camerawork as special-technique startingpoints. The source video data is divided into portions, the boundariesbetween which coincide with the special-technique starting pointsrespectively. Frames represented by each source video data portion arethinned out or decimated so that the source video data portion will beshortened to a digest video data piece. The rate of the thinning-out ordecimating rises as the time length of the source video data portionincreases. The resultant digest video data pieces are connected to formdata (digest video data) representing a digest of pictures indicated bythe source video data.

In the method and the apparatus of Japanese application 2005-252372, thesampling of the source video data to derive the successive frames andthe analysis of the derived successive frames to detect thespecial-technique starting points tend to require a great amount of dataprocessing. Therefore, it usually takes a long time to generate thedigest video data.

SUMMARY OF THE INVENTION

It is a first object of this invention to provide an apparatus forgenerating digest data in a relatively short time and with a relativelysmall amount of data processing.

It is a second object of this invention to provide a method ofgenerating digest data in a relatively short time and with a relativelysmall amount of data processing.

A first aspect of this invention provides a digest data generatingapparatus comprising a video data storing section for storing video datapieces therein; a grouping section for classifying the video data piecesin the video data storing section into groups according to prescribedrules; a per-group cut number deciding section for deciding a cut numberassigned to each of the groups on the basis of the length or lengths ofa video data piece or pieces in each of the groups and the number of thevideo data piece or pieces in each of the groups; a cut extractingsection for extracting a cut or cuts from the video data piece or piecesin each of the groups, wherein the number of the extracted cut or cutsis equal to the cut number decided by the per-group cut number decidingsection for each of the groups; and a reproduction controlling sectionfor generating digest data from the cuts extracted by the cut extractingsection with respect to all the groups.

A second aspect of this invention is based on the first aspect thereof,and provides a digest data generating apparatus wherein the groupingsection comprises means for classifying the video data pieces into thegroups according to intervals in shooting date and time between thevideo data pieces.

A third aspect of this invention is based on the first aspect thereof,and provides a digest data generating apparatus wherein the cutextracting section comprises means for deciding whether or not at leastone of the video data pieces in each of the groups has a length shorterthan a cut length; means for, when at least one of the video data piecesin at least one of the groups has a length shorter than the cut length,using the whole of said at least one of the video data pieces as acorresponding extracted cut; and means for, when at least one of thevideo data pieces in at least one of the groups has a length shorterthan the cut length, distributing the quantity of the cut length minusthe length of said at least one of the video data pieces to the lengthsof cuts extracted from the video data pieces in said at least one of thegroups and other than said at least one of the video data pieces.

A fourth aspect of this invention is based on the first aspect thereof,and provides a digest data generating apparatus wherein the per-groupcut number deciding section comprises means for limiting each of thedecided cut numbers to the number of a video data piece or pieces in thecorresponding group or less.

A fifth aspect of this invention provides a method of generating digestdata. The method comprises the steps of classifying the video datapieces into groups according to prescribed rules; deciding a cut numberassigned to each of the groups on the basis of the length or lengths ofa video data piece or pieces in each of the groups and the number of thevideo data piece or pieces in each of the groups; extracting a cut orcuts from the video data piece or pieces in each of the groups, whereinthe number of the extracted cut or cuts is equal to the cut numberdecided for each of the groups; and generating digest data from theextracted cuts with respect to all the groups.

A sixth aspect of this invention provides a digest data generatingapparatus comprising first means for classifying video data pieces intogroups; second means for detecting a total play time of a video datapiece or pieces in each of the groups; third means for detecting thenumber of the video data piece or pieces in each of the groups; fourthmeans for deciding a cut number assigned to each of the groups on thebasis of the corresponding total play time detected by the second meansand the corresponding number detected by the third means; fifth meansfor extracting a cut or cuts from the video data piece or pieces in eachof the groups, wherein the number of the extracted cut or cuts is equalto the corresponding cut number decided by the fourth means; and sixthmeans for generating digest data from the cuts extracted by the fifthmeans with respect to all the groups.

A seventh aspect of this invention is based on the sixth aspect thereof,and provides a digest data generating apparatus further comprisingseventh means for detecting a total play time of the video data piecesin all the groups; and eighth means provided in the fourth means fordeciding a cut number assigned to each of the groups on the basis of thecorresponding total play time detected by the second means, thecorresponding number detected by the third means, and the total playtime detected by the seventh means.

This invention has the following advantage. A cut or cuts are extractedfrom a video data piece or pieces in each of groups without analyzingthe picture contents of the video data piece of pieces. Digest data isgenerated from the extracted cuts for all the groups. Accordingly, theanalysis of the picture contents of the video data pieces is absent fromthe generation of the digest data. Therefore, it is possible to generatethe digest data in a relatively short time and with a relatively smallamount of data processing. This results in power economy that isimportant especially when a battery is used as a main power supply.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a diagram of a digest data generating apparatus according to afirst embodiment of this invention.

FIG. 2 is a diagram showing an example of the values of variousparameters assigned to groups of video data pieces.

FIG. 3 is a time-domain diagram of an example of video data pieces in agroup, and cuts extracted therefrom.

FIG. 4 is a block diagram of the digest data generating apparatus in thefirst embodiment of this invention.

FIG. 5 is a flowchart of a first segment of a control program for acomputer in FIG. 4.

FIG. 6 is a flowchart of a second segment of the control program for thecomputer in FIG. 4.

FIG. 7 is a time-domain diagram of an example of video data pieces in agroup, and cuts extracted therefrom.

FIG. 8 is a time-domain diagram of an example of video data pieces in agroup, and cuts extracted therefrom by a first action taken by a cutextracting section in a second embodiment of this invention.

FIG. 9 is a time-domain diagram of an example of video data pieces in agroup, and cuts extracted therefrom by a second action taken by the cutextracting section in the second embodiment of this invention.

FIG. 10 is a time-domain diagram of an example of video data pieces in agroup, and cuts extracted therefrom.

FIG. 11 is a time-domain diagram of an example of video data pieces in agroup, and cuts extracted therefrom in a first way according to a thirdembodiment of this invention.

FIG. 12 is a time-domain diagram of an example of video data pieces in agroup, and cuts extracted therefrom in a second way according to thethird embodiment of this invention.

FIG. 13 is a time-domain diagram of an example of video data pieces in agroup, and cuts extracted therefrom in a third way according to thethird embodiment of this invention.

DETAILED DESCRIPTION OF THE INVENTION First Embodiment

Each video data piece represents pictures taken by, for example, a videocamera during every shooting. Each video data piece may havesound-representing components and other-information-representingcomponents in addition to picture-representing components. The picturesrepresented by each video data piece are moving pictures, stillpictures, or a mixture of moving pictures and still pictures. Each videodata piece is a coded video data sequence, a coded video data block, ora coded video data file.

Each digest data piece corresponds to one or more video data pieces.Each digest data piece represents a digest of pictures represented bythe corresponding video data piece or pieces. Each digest data piece mayhave sound-representing components and other-information-representingcomponents in addition to picture-representing components. The picturedigest represented by each digest data piece means a digest of movingpictures, a digest of still pictures, or a digest of a mixture of movingpictures and still pictures. Each digest data piece is a coded digestdata sequence, a coded digest data block, or a coded digest data file.

FIG. 1 shows a digest data generating apparatus 100 according to a firstembodiment of this invention. It should be noted that a portion of FIG.1 shows the operation of the apparatus 100 rather than the hardwarestructure thereof. The apparatus 100 may be provided in a video camera.

With reference to FIG. 1, there are a video data storing section 110, acut data storing section 120, a digest play-time deciding section 130, agrouping section 140, a per-group cut number deciding section 150, a cutextracting section 160, and a reproduction controlling section 170 inthe digest data generating apparatus 100.

The reproduction controlling section 170 may be omitted from theapparatus 100 or be outside the apparatus 100. The digest play-timedeciding section 130 may be omitted from the apparatus 100.

There is an image capturing section or a camera section (not shown inFIG. 1). During every shooting, the camera section repetitively capturesan image of a subject or a target scene, and generates a video signalrepresenting a stream of moving pictures or a set of still picturesformed by the respective captured images.

Video signals generated by the camera section are encoded into videodata pieces 200. The video data pieces 200 are stored in the video datastoring section 110. Each video data piece 200 may contain sound dataand text data. Different IDs are assigned to the video data pieces 200,respectively. Each video data piece 200 may contain a signalrepresenting its ID. The video data storing section 110 includes arecording medium and a drive for recording or writing data on therecording medium and reproducing or reading data therefrom. The videodata pieces 200 are stored in the recording medium. The recording mediumis a hard disc, a DVD, another optical disc, a magnetic tape, or asemiconductor memory. The recording medium is of a removable type or abuilt-in type (an unremovable type).

Digest data pieces and various information pieces about the digest datapieces are stored in the cut data storing section 120. Each digest datapiece is formed by a cut of a corresponding video data piece or pieces.Accordingly, each digest data piece represents a digest of picturesrepresented by the corresponding video data piece or pieces. The cutdata storing section 120 includes a recording medium and a drive forrecording or writing data on the recording medium and reproducing orreading data therefrom. The digest data pieces and the variousinformation pieces about the digest data pieces are stored in therecording medium. The recording medium is a hard disc, a DVD, anotheroptical disc, a magnetic tape, or a semiconductor memory. The recordingmedium is of a removable type or a built-in type (an unremovable type).

The video data storing section 110 and the cut data storing section 120may be formed by a common data storing section.

The digest data generating apparatus 100 includes a clock, a GPSreceiver, and an operation unit (not shown in FIG. 1). The operationunit can be actuated by a user. A signal representing user's comment anda signal representing user's command can be inputted into the apparatus100 by actuating the operation unit. For each video data piece 200generated from a video signal outputted by the camera section, theapparatus 100 generates an attribute information piece in response tosignals generated by the clock and the GPS receiver and a user's commentsignal inputted via the operation unit. The attribute information pieceindicates the ID, the shooting date and time, the play time, theshooting place, and the user's comment about the corresponding videodata piece 200.

Preferably, the apparatus 100 adds the generated attribute informationpieces to the corresponding video data pieces 200 respectively. Theapparatus 100 stores the attribute-information-added video data pieces200 in the video data storing section 110.

Preferably, each video data piece 200 is in a prescribed format (forexample, MPEG) having a header portion or an index portion. In thiscase, an attribute information piece is placed in the header portion orthe index portion of the corresponding video data piece 200 according tothe prescribed format or management rules prescribed in the apparatus100.

Alternatively, the apparatus 100 may generate management informationfiles separate from the video data pieces 200. The generated managementinformation files are associated with the video data pieces 200,respectively. In this case, the apparatus 100 places the generatedattribute information pieces in the corresponding management informationfiles respectively. Then, the apparatus 100 stores the managementinformation files in the video data storing section 110.

The digest play-time deciding section 130 decides a digest play time Tequal to the play time of digest data to be generated and reproduced.The digest play time T is proportional to the sum of the play times ofall the video data pieces 200, that is, the total play time of all thevideo data pieces 200. Specifically, the digest play-time decidingsection 130 accesses the attribute information pieces in the video datastoring section 110 to detect the play times of the video data pieces200 therein. Then, the digest play-time deciding section 130 sums thedetected play times to calculate the total play time. Subsequently, thedigest play-time deciding section 130 decides the digest play time T onthe basis of the calculated total play time according to a predeterminedproportional function. The digest play-time deciding section 130 informsthe per-group cut number deciding section 150 of the decided digest playtime T.

The digest play-time deciding section 130 may preset a threshold valuefor the digest play time T. In this case, the digest play-time decidingsection 130 limits the decided digest play time T to the thresholdvalue. The limitation of the digest play time T prevents the impairmentof the digest effect, that is, the quick viewing of the video contentsin the video data storing section 110.

It should be noted that the digest play time T may be equal to apredetermined value. Alternatively, a signal of the digest play time Tmay be inputted into the apparatus 100 via the operation unit. In thesecases, the digest play-time deciding section 130 is omitted from theapparatus 100.

The grouping section 140 accesses the attribute information pieces inthe video data storing section 110 to detect the shooting date and timeof each of the video data pieces 200 therein. The grouping section 140classifies the video data pieces 200 into groups according to prescribedrules using the detected shooting date and time of each of the videodata pieces 200.

A first example of the prescribed grouping rules is designed toimplement the following action. The grouping section 140 calculates theintervals in shooting date and time between the video data pieces 200.Then, the grouping section 140 compares each of the intervals inshooting or recording date and time between the video data pieces 200with a prescribed threshold value, and implements the grouping of thevideo data pieces 200 in accordance with the comparison results.Specifically, two temporally neighboring video data pieces areclassified into a same group provided that the interval in shooting dateand time between them is equal to or less than the prescribed thresholdvalue. On the other hand, two temporally neighboring video data piecesare separated into different groups respectively provided that theinterval in shooting date and time between them is greater than theprescribed threshold value.

A second example of the prescribed grouping rules is designed toimplement the following action. The grouping section 140 derives theshooting order numbers of the video data pieces 200 by referring to theshooting date and time of each of the video data pieces 200. Thegrouping section 140 further accesses the attribute information piecesin the video data storing section 110 to detect the shooting places ofthe video data pieces 200 therein. The grouping section 140 classifyvideo data pieces 200 into a same group provided that the shooting ordernumbers thereof are serial and the shooting places thereof are close toeach other. On the other hand, the grouping section 140 separate videodata pieces 200 into different groups respectively provided that theabove-indicated conditions are not met.

The grouping section 140 generates grouping information representing theresults of the grouping of the video data pieces 200 in the video datastoring section 110. The grouping information has segments representingwhich of the groups each of the video data pieces 200 belongs to. Thegrouping section 140 assigns serial ID numbers to the groups,respectively. The grouping information includes segments representingthe ID numbers for the groups. The grouping section 140 informs theper-group cut number deciding section 150 and the cut extracting section160 of the grouping information.

For example, the grouping information indicates lists for the respectivegroups. Each of the lists has the ID number of the corresponding group,and the IDs of video data pieces 200 therein.

The per-group cut number deciding section 150 detects the groups fromthe grouping information generated by the grouping section 140. Byreferring to the grouping information, the per-group cut number decidingsection 150 detects the number of a video data piece or pieces 200 ineach of the groups. The per-group cut number deciding section 150accesses the attribute information pieces in the video data storingsection 110 to detect the play times of the video data pieces 200therein. For each group, the per-group cut number deciding section 150detects the play time or times of a video data piece or pieces 200therein. The per-group cut number deciding section 150 decides cutnumbers assigned to the groups respectively on the basis of the detectedplay time or times of a video data piece or pieces 200 in each group,the detected number of the video data piece or pieces 200 in each group,and the digest play time T decided by the digest play-time decidingsection 130. Each of the decided cut numbers means the number of a cutor cuts being a portion or portions to be extracted from a video datapiece or pieces 200 in the corresponding group. The per-group cut numberdeciding section 150 informs the cut extracting section 160 of thedecided cut numbers assigned to the respective groups. As will beexplained later, the cuts (the portions) extracted from the video datapieces 200 in the groups are sequentially connected in the order ofshooting date and time to form digest data.

Detailed operation of the per-group cut number deciding section 150 isas follows. It is assumed that the grouping section 140 classifies thevideo data pieces 200 into “g” groups (a group “1”, a group “2”, . . . ,a group “g”). Firstly, the per-group cut number deciding section 150detects the number of a video data piece or pieces in each of the “g”groups. Furthermore, the per-group cut number deciding section 150computes the total play time of the video data piece or pieces in eachof the “g” groups. In the case of a group having only a single videodata piece, the per-group cut number deciding section 150 uses the playtime of the video data piece as the total play time. In the case of agroup having two or more video data pieces, the per-group cut numberdeciding section 150 sums the play times of the respective video datapieces to compute the total play time. Thereafter, the per-group cutnumber deciding section 150 calculates a cut ratio P(n) for a group “n”(n=1, 2, . . . , g) according to the following equation.

$\begin{matrix}{{P(n)} = \frac{{\log( {L(n)} )} \cdot {\log( {{N(n)} + 1} )}}{\sum\limits_{i = 1}^{g}\{ {{\log( {L(i)} )} \cdot {\log( {{N(i)} + 1} )}} \}}} & (1)\end{matrix}$where L(n) denotes the total play time of a video data piece or piecesin the group “n”; N(n) denotes the number of the video data piece orpieces in the group “n”; L(i) denotes the total play time of a videodata piece or pieces in a group “i”; and N(i) denotes the number of thevideo data piece or pieces in the group “i”.

The per-group cut number deciding section 150 is informed of the digestplay time T by the digest play-time deciding section 130. The per-groupcut number deciding section 150 computes a partial digest play time D(n)for the group “n” from the digest play time T and the calculated cutratio P(n) according to the following equation.D(n)=T·P(n)  (2)

Thereafter, the per-group cut number deciding section 150 calculates abasic number CB(n) for the group “n” from the computed partial digestplay time D(n) and a cut time length “t” according to the followingequation.

$\begin{matrix}{{{CB}(n)} = \{ \begin{matrix}1 & ( {{{D(n)}/t} < 0.5} ) \\{{D(n)}/t} & ( {{{D(n)}/t} \geq 0.5} )\end{matrix} } & (3)\end{matrix}$where the cut time length “t” means the play time of each cut to beextracted. Preferably, the cut time length “t” is chosen to beproportional to the sum of the play times of all the video data piecesor the digest play time T. Alternatively, the cut time length “t” may bedetermined by using another parameter. The cut length “t” may be equalto a predetermined value.

The per-group cut number deciding section 150 computes a cut number C(n)for the group “n” by rounding the calculated basic number CB(n) to thenearest integer.

With reference to FIG. 2, there are 11 groups having ID numbers of “1”,“2”, . . . , and “11” respectively. Under the conditions of FIG. 2, thedigest play time T decided by, for example, the digest play-timedeciding section 130 is equal to 180 seconds while the cut time length“t” is equal to 5 seconds. The per-group cut number deciding section 150detects the number of a video data piece or pieces in each of the 11groups. Furthermore, the per-group cut number deciding section 150computes the total play time of the video data piece or pieces in eachof the 11 groups. Subsequently, the per-group cut number decidingsection 150 calculates the value of log(L(k))·log(N(k)+1), where “k”denotes a group ID number varying from “1” to “11”, and L(k) denotes thetotal play time of a video data piece or pieces in the group “k” andN(k) denotes the number of the video data piece or pieces in the group“k”. Thereafter, the per-group cut number deciding section 150 computesthe cut ratio P(n) for each of the 11 groups. Subsequently, theper-group cut number deciding section 150 calculates the partial digestplay time D(n) and the cut number C(n) for each of the 11 groups.

In FIG. 2, a cut number C(n) of “1” is assigned to the group having theID number “1”. Furthermore, a cut number C(n) of “3” is assigned to thegroup having the ID number “2”. In addition, a cut number C(n) of “7” isassigned to the group having the ID number “3”. The 11 groups areassigned 36 cuts in total.

Each of the cut numbers C(n) for the respective groups may be decided onthe basis of the total play time of a video data piece or pieces in thecorresponding group, the number of the video data piece or pieces in thecorresponding group, and the digest play time T according topredetermined equations different from the previously-indicatedequations (1), (2), and (3).

The cut extracting section 160 is informed of the decided cut numbersC(n) for the respective groups by the per-group cut number decidingsection 150. Furthermore, the cut extracting section 160 is informed ofthe cut time length “t” by the per-group cut number deciding section150. In addition, the cut extracting section 160 is informed of thegrouping information by the grouping section 140. The cut extractingsection 160 accesses the video data storing section 110 and extracts acut or cuts (a portion or portions) from a video data piece or pieces ineach group, wherein the number of the extracted cut or cuts is equal tothe corresponding cut number C(n), and the play time of each extractedcut is equal to the cut time length “t”. Detailed operation of the cutextracting section 160 is as follows.

With reference to FIG. 3, there are 6 video data pieces (video datapieces “1”, “2”, “3”, “4”, “5”, and “6”) in a group assigned a cutnumber C(n) of “3”. The 6 video data pieces are successively arranged inthe order of shooting date and time. Under the conditions of FIG. 3, thecut time length “t” is equal to 5 seconds. The cut extracting section160 accesses the video data storing section 110, and extracts a 5-secondhead portion from the first one (the video data piece “1”) among the 6video data pieces as a cut “1”. The cut extracting section 160 accessesthe attribute information pieces in the video data storing section 110to detect the shooting date and time of each of the 6 video data pieces.Then, the cut extracting section 160 calculates the intervals inshooting date and time between the 6 video data pieces. Subsequently,the cut extracting section 160 compares the calculated intervals witheach other and virtually arranges them according to length. The cutextracting section 160 selects, from the virtually arranged intervals,longer ones whose number is equal to the cut number C(n) minus “1”. Thecut extracting section 160 accesses the video data storing section 110,and sequentially extracts 5-second head portions from the video datapieces immediately following the selected longer intervals as cuts laterthan the cut “1”. In FIG. 3, the interval between the video data pieces“5” and “6” is the longest, and the interval between the video datapieces “1” and “2” is the second longest. Accordingly, the cutextracting section 160 extracts a 5-second head portion from the videodata piece “6” as a cut “2”. Then, the cut extracting section 160extracts a 5-second head portion from the video data piece “2” as a cut“3”.

The above-mentioned operation of the cut extracting section 160 isequivalent to the following operation. For each group, the cutextracting section 160 calculates the intervals in shooting date andtime between in-group video data pieces. For each group, the cutextracting section 160 further classifies the in-group video data piecesinto sub groups, the number of which is equal to the corresponding cutnumber C(n), according to the calculated intervals. The cut extractingsection 160 extracts a 5-second head portion from the first video datapiece in each of the sub groups as a cut.

Alternatively, the cut extracting section 160 may operate as follows.For each group, the cut extracting section 160 calculates the intervalsin shooting date and time between in-group video data pieces. Then, thecut extracting section 160 compares the calculated intervals andvirtually arranges them according to length. The cut extracting section160 selects, from the virtually arranged intervals, longer ones whosenumber is equal to the corresponding cut number C(n) minus “1”. The cutextracting section 160 classifies the in-group video data pieces intosub groups in a manner such that time ranges separated by the selectedlonger intervals correspond to the sub groups respectively, and that avideo data piece or pieces placed in each of the time ranges are labeledas a member or members of the corresponding sub group. The cutextracting section 160 extracts a 5-second head portion from the firstvideo data piece in each of the sub groups as a cut. In FIG. 3, theinterval between the video data pieces “1” and “2”, and the intervalbetween the video data pieces “5” and “6” are selected longer ones.Accordingly, the video data piece “1” is separated into a first subgroup. The video data pieces “2”, “3”, “4”, and “5” are separated into asecond sub group. The video data piece “6” is separated into a third subgroup. In this case, the video data pieces “1”, “2”, and “6” are thefirst video data pieces in the first, second, and third groups. Thus,the cut extracting section 160 extracts 5-second head portions from thevideo data pieces “1”, “2”, and “6” as cuts “1”, “2”, and “3”.

As previously mentioned, the cut extracting section 160 accesses thevideo data storing section 110 and extracts a cut or cuts (a portion orportions) from a video data piece or pieces in each group, wherein thenumber of the extracted cut or cuts is equal to the corresponding cutnumber C(n), and the play time of each extracted cut is equal to the cuttime length “t”. The cut extracting section 160 stores the extractedcuts (the extracted portions) in the cut data storing section 120 asdigest data pieces for all the groups.

The cut extracting section 160 may generate a playlist and store thegenerated playlist in the cut data storing section 120 or the video datastoring section 110. In this case, the cut extracting section 160detects the IDs of the video data pieces from which the cuts should beextracted respectively, and the positions in the video data pieces atwhich the cuts should be extracted respectively. The cut extractingsection 160 combines information representative of the detected IDs ofthe video data pieces and information representative of the detectedpositions therein to generate the playlist.

The digest data generating apparatus 100 includes a display (not shownin FIG. 1). When user's command to reproduce digest data is inputtedinto the apparatus 100 via the operation unit, the reproductioncontrolling section 170 sequentially transfers the digest data piecesfrom the cut data storing section 120 to the display in the order ofshooting date and time. The reproduction controlling section 170controls the display to sequentially visualize or reproduce the contentsof the transferred digest data pieces. In other words, the reproductioncontrolling section 170 sequentially connects the digest data pieces toform digest data, and controls the display to reproduce the contents ofthe digest data.

In the case where the playlist is generated and stored, the reproductioncontrolling section 170 accesses the video data storing section 110 todetect the to-be-extracted portions of the video data pieces accordingto the playlist. In this case, the reproduction controlling section 170sequentially transfers the detected portions of the video data piecesfrom the video data storing section 110 to the display in the order ofshooting date and time. The reproduction controlling section 170controls the display to sequentially visualize or reproduce the contentsof the transferred portions of the video data pieces. In other words,the reproduction controlling section 170 sequentially connects thedetected portions of the video data pieces to form digest data, andcontrols the display to reproduce the contents of the digest data.

As previously mentioned, the grouping section 140 classifies the videodata pieces 200 in the video data storing section 110 into groupsaccording to the prescribed rules. The per-group cut number decidingsection 150 decides cut numbers assigned to the groups respectively onthe basis of the play time or times of a video data piece or pieces 200in each group, the number of the video data piece or pieces 200 in eachgroup, and the digest play time T decided by the digest play-timedeciding section 130. The cut extracting section 160 extracts a cut orcuts (a portion or portions) from a video data piece or pieces in eachgroup without analyzing the picture contents of the video data piece orpieces, wherein the number of the extracted cut or cuts is equal to thecorresponding cut number. The cut extracting section 160 stores theextracted cuts (the extracted portions) in the cut data storing section120 as digest data pieces for all the groups. Accordingly, the analysisof the picture contents of the video data pieces is absent from thegeneration of digest data. Therefore, it is possible to generate digestdata in a relatively short time and with a relatively small amount ofdata processing. This causes power economy that is important especiallywhen the digest data generating apparatus 100 is incorporated in abattery-powered video camera.

FIG. 4 shows the hardware structure of the digest data generatingapparatus 100. As shown in FIG. 4, the apparatus 100 includes a computer10. The digest play-time deciding section 130, the grouping section 140,the per-group cut number deciding section 150, the cut extractingsection 160, and the reproduction controlling section 170 in FIG. 1 areimplemented by the computer 10.

The computer 10 has an I/O port 10A, a CPU 10B, a ROM 10C, a RAM 10D, astorage unit 10E, and a clock 10F which are connected by a bus.Preferably, the storage unit 10E includes a memory, a combination of ahard disc and a drive therefor, or a combination of a writable opticaldisc and a drive therefor. The clock 10F generates a signal representingthe present date and time. The clock 10F outputs the generated signal tothe CPU 10B.

The apparatus 100 includes an operation unit 12 connected with the I/Oport 10A of the computer 10. The operation unit 12 can be actuated by auser. A signal representing user's comment and a signal representinguser's command can be inputted into the computer 10 by actuating theoperation unit 12.

The apparatus 100 includes an image capturing section (a camera section)14 connected with the I/O port 10A of the computer 10. During everyshooting, the image capturing section 14 repetitively captures an imageof a subject or a target scene, and generates a video signalrepresenting a stream of moving pictures or a set of still picturesformed by the respective captured images. The image capturing section 14outputs each video signal to the I/O port 10A of the computer 10.

The apparatus 100 includes a GPS receiver 16 connected with the I/O port10A of the computer 10. The GPS receiver 16 generates a signalrepresenting the present position of the apparatus 100. The GPS receiver16 outputs the generated signal to the I/O port 10A of the computer 10.

The apparatus 100 includes a display 18 connected with the I/O port 10Aof the computer 10. The display 18 visualizes the contents of a videosignal fed from the I/O port 10A while being controlled by the computer10.

The computer 10 or the CPU 10B operates in accordance with a controlprogram (a computer program) stored in the ROM 10C, the RAM 10D, or thestorage unit 10E. The control program is designed to enable the computer10 or the CPU 10B to implement actions mentioned hereafter.

During a data recording mode of operation of the apparatus 100, thecomputer 10 receives a video signal from the image capturing section 14.The computer 10 encodes the received video signal into a video datapiece, and stores the video data piece into the storage unit 10E. Forthe stored video data piece, the computer 10 obtains or generates anattribute data piece in response to the signals generated by the clock10F and the GPS receiver 16, and a user's comment signal inputted viathe operation unit 12. The attribute information piece indicates the ID,the shooting date and time, the play time, the shooting place, and theuser's comment about the video data piece. The computer 10 stores theattribute information piece into the storage unit 10E in a manner suchas to relate the stored attribute information piece with the storedvideo data piece.

After the apparatus 100 has been repetitively operated in the datarecording mode, video data pieces and attribute information pieces forthe respective video data pieces are stored in the storage unit 10E. Thevideo data storing section 110 and the cut data storing section 120 inFIG. 1 are implemented by the storage unit 10E.

The apparatus 100 can be operated in a digest generating mode. FIG. 5 isa flowchart of a segment of the control program for the computer 10 (theCPU 10B) which relates to the digest generating mode of operation.

With reference to FIG. 5, a first step S10 of the program segmentaccesses attribute information pieces in the storage unit 10E to detectthe play times of all video data pieces therein. Then, the step S10 sumsthe detected play times to calculate the total play time. Subsequently,the step S10 decides a digest play time T which is proportional to thecalculated total play time. The step S10 corresponds to the digestplay-time deciding section 130 in FIG. 1.

A step S12 following the step S10 accesses the attribute informationpieces in the storage unit 10E to detect the shooting date and time ofeach of all the video data pieces therein. The step S12 classifies allthe video data pieces into groups according to prescribed rules usingthe detected shooting date and time of each of the video data pieces asthe grouping section 140 in FIG. 1 does. The step S12 generates groupinginformation as the grouping section 140 does. The step S12 stores thegenerated grouping information into the storage unit 10E.

A step S14 subsequent to the step S12 refers to the groupinginformation, and thereby detects the number of a video data piece orpieces in each of the groups. The step S14 accesses the attributeinformation pieces in the storage unit 10E to detect the play times ofall the video data pieces therein. For each group, the step S14 detectsthe play time or times of a video data piece or pieces therein. The stepS14 decides cut numbers assigned to the groups respectively on the basisof the detected play time or times of the video data piece or pieces ineach group, the detected number of the video data piece or pieces ineach group, and the digest play time T as the per-group cut numberdeciding section 150 in FIG. 1 does. The step S14 determines or providesa cut time length “t” as the per-group cut number deciding section 150in FIG. 1 does.

A step S16 following the step S14 accesses the storage unit 10E andextracts a cut or cuts (a portion or portions) from a video data pieceor pieces in each group, wherein the number of the extracted cut or cutsis equal to the corresponding cut number, and the play time of eachextracted cut is equal to the cut time length “t”. The group-dependentextraction of cuts from the video data pieces by the step S16 is similarto that by the cut extracting section 160 in FIG. 1. The step S16 storesthe extracted cuts (the extracted portions) into the storage unit 10E asdigest data pieces. By referring to the attribute information pieces inthe storage unit 10E, the step S16 generates cut information piecesrepresenting the shooting dates and times of the cuts and the IDs of thecuts. The step S16 stores the cut information pieces into the storageunit 10E in a manner as to relate the cut information pieces with thecuts. After the step S16, the current execution cycle of the programsegment ends.

The apparatus 100 can be operated in a digest reproducing mode. FIG. 6is a flowchart of a segment of the control program for the computer 10(the CPU 10B) which relates to the digest reproducing mode of operation.The program segment in FIG. 6 is repetitively executed.

As shown in FIG. 6, a first step S20 of the program segment decideswhether or not user's command to reproduce digest data is inputted fromthe operation unit 12. When user's command is inputted, the programadvances from the step S20 to a step S22. Otherwise, the program exitsfrom the step S20, and then the current execution cycle of the programsegment ends.

The step S22 refers to cut information pieces in the storage unit 10E.According to the cut information pieces, the step S22 sequentiallytransfers digest data pieces from the storage unit 10E to the display 18in the order of shooting date and time. The step S22 controls thedisplay 18 to sequentially visualize or reproduce the contents of thetransferred digest data pieces. In other words, the step S22sequentially connects the digest data pieces to form digest data, andcontrols the display 18 to reproduce the contents of the digest data.After the step S22, the current execution cycle of the program segmentends.

Second Embodiment

A second embodiment of this invention is similar to the first embodimentthereof except for design changes mentioned hereafter.

With reference to FIG. 7, there is a group having video data pieces “1”,“2”, and “3”. Cuts “1”, “2”, and “3” are to be extracted from the videodata pieces “1”, “3”, and “2”, respectively. Since the play time of thevideo data piece “3” is equal to 3 seconds, a 5-second head portion cannot be extracted from the video data piece “3” as a cut “2”.

If a fourth video data piece differing from the video data pieces “1”,“2”, and “3” and having a play time of 5 seconds or longer is also inthe group, a 5-second head portion may be extracted from the fourthvideo data piece as a cut “2”. In the absence of such a fourth videodata piece from the group, the cut extracting section 160 takes one ofthe following first, second, third, fourth, and fifth actions.

FIG. 8 relates to the first action in which the whole of the video datapiece “3” having a play time of 3 seconds is used as a cut “2”, and6-second head portions are extracted from the video data pieces “1” and“2” as cuts “1” and “3” respectively. Thus, the time length of the cut“2” is equal to 3 seconds, while the time lengths of the cuts “1” and“3” are equal to 6 seconds.

Specifically, the cut extracting section 160 compares the play time ofeach of the video data pieces “1”, “2”, and “3” with the cut time length“t” (5 seconds) to detect a short video data piece which means a videodata piece having a play time shorter than the cut time length “t”. Thecut extracting section 160 labels the whole of the short video datapiece as a corresponding cut. In FIG. 8, the video data piece “3” isdetected as short one (one having a play time shorter than the cut timelength “t”), and the cut extracting section 160 labels the whole of thevideo data piece “3” as a cut “2”. The cut extracting section 160calculates the difference value equal to the cut time length “t” minusthe play time of the short video data piece. The cut extraction section160 divides the calculated difference value by the number of in-groupvideo data pieces different from the short video data piece. The cutextracting section 160 calculates the addition value equal to the cuttime length “t” plus the result of the division. The cut extractingsection 160 extracts a head portion, which has a play time equal to thecalculated addition value, from each of the in-group video data piecesother than the short video data piece to generate a corresponding cut.In FIG. 8, the cut time length “t” is equal to 5 seconds and the playtime of the video data piece “3” is equal to 3 seconds, the calculateddifference value is equal to 2 seconds. Since the number of in-groupvideo data pieces different from the video data piece “3” is 2, theresult of the division is equal to 1 second so that the addition valueis equal to 6 seconds. Accordingly, the cut extracting section 160extracts 6-second head portions from the video data pieces “1” and “2”as cuts “1” and “3” respectively.

FIG. 9 relates to the second action in which the whole of the video datapiece “3” having a play time of 3 seconds is used as a cut “2”, and a5-second head portion and a 7-second head portion are extracted from thevideo data pieces “1” and “2” as cuts “1” and “3” respectively. Thus,the time length of the cut “2” is equal to 3 seconds, while the timelengths of the cuts “1” and “3” are equal to 5 seconds and 7 secondsrespectively.

Specifically, the cut extracting section 160 compares the play time ofthe video data piece “1” with the cut time length “t” (5 seconds). Whenthe play time of the video data piece “1” is equal to or longer than thecut time length “t”, the cut extracting section 160 extracts a 5-secondhead portion from the video data piece “1” as a cut “1”. Thereafter, thecut extracting section 160 compares the play time of the video datapiece “3” with the cut time length “t”. When the play time of the videodata piece “3” is shorter than the cut time length “t”, the cutextracting section 160 labels the whole of the video data piece “3” as acut “2”. The cut extracting section 160 calculates the difference valueequal to the cut time length “t” minus the play time of the video datapiece “3”. Subsequently, the cut extracting section 160 calculates theaddition value equal to the cut time length “t” plus the calculateddifference value. In FIG. 9, the cut time length “t” is equal to 5seconds and the play time of the video data piece “3” is equal to 3seconds, the calculated difference value is equal to 2 seconds.Accordingly, the calculated addition value is equal to 7 seconds.Thereafter, the cut extracting section 160 compares the play time of thevideo data piece “2” with the calculated addition value. When the playtime of the video data piece “2” is equal to or longer than thecalculated addition value, the cut extracting section 160 extracts ahead portion, which has a play time equal to the addition value, fromthe video data piece “2” as a cut “3”. In FIG. 9, a 7-second headportion is extracted from the video data piece “2” as a cut “3”.

According to the third action, the cut extracting section 160 comparesthe play time of each of the video data pieces “1”, “2”, and “3” withthe cut time length “t” (5 seconds) to detect a short video data piecewhich means a video data piece having a play time shorter than the cuttime length “t”. The cut extracting section 160 labels the whole of theshort video data piece as a corresponding cut. The cut extractingsection 160 calculates the difference value equal to the cut time length“t” minus the play time of the short video data piece. The cutextracting section 160 computes the ratio in play time between first andsecond in-group video data pieces different from the short video datapiece. The cut extraction section 160 divides the calculated differencevalue into first and second parts at the computed ratio. The cutextracting section 160 extracts a head portion, which has a play timeequal to the cut time length “t” plus the first part of the calculateddifference value, from the first in-group video data piece to generate acorresponding cut. The cut extracting section 160 extracts a headportion, which has a play time equal to the cut time length “t” plus thesecond part of the calculated difference value, from the second in-groupvideo data piece to generate a corresponding cut. Thus, the calculateddifference value is distributed to cuts from the in-group video datapieces other than the short video data piece in accordance with theratio in play time between the in-group video data pieces.

According to the fourth action, the cut extracting section 160 comparesthe play time of each of the video data pieces “1”, “2”, and “3” withthe cut time length “t” (5 seconds) to detect a short video data piecewhich means a video data piece having a play time shorter than the cuttime length “t”. The cut extracting section 160 labels the whole of theshort video data piece as a corresponding cut. The cut extractingsection 160 compares the play times of the video data pieces “1”, “2”,and “3” with each other to detect the longest video data piece. The cutextracting section 160 calculates the difference value equal to the cuttime length “t” minus the play time of the short video data piece.Subsequently, the cut extracting section 160 calculates the additionvalue equal to the cut time length “t” plus the calculated differencevalue. The cut extracting section 160 extracts a head portion, which hasa play time equal to the calculated addition value, from the longestvideo data piece as a corresponding cut. The cut extracting section 160extracts a 5-second head portion from the in-group video data piecedifferent from the short and longest video data pieces as acorresponding cut.

According to the fifth action, the cut extracting section 160 comparesthe play time of the video data piece “1” with the cut time length “t”(5 seconds). When the play time of the video data piece “1” is equal toor longer than the cut time length “t”, the cut extracting section 160extracts a 5-second head portion from the video data piece “1” as a cut“1”. Thereafter, the cut extracting section 160 compares the play timeof the video data piece “3” with the cut time length “t”. When the playtime of the video data piece “3” is shorter than the cut time length“t”, the cut extracting section 160 labels the whole of the video datapiece “3” as a cut “2”. Then, the cut extracting section 160 comparesthe play time of the video data piece “2” with the cut time length “t”.When the play time of the video data piece “2” is equal to or longerthan the cut time length “t”, the cut extracting section 160 extracts a5-second head portion from the video data piece “2” as a cut “3”.

In this way, the second embodiment of this invention provides avariation in the time lengths of cuts from video data pieces in eachgroup when the play time of one of the video data pieces is shorter thanthe cut time length “t”. The provided variation in the time lengths ofthe cuts enables the contents of the resultant digest data to be moreeasily understood by the user.

Third Embodiment

A third embodiment of this invention is similar to the first embodimentthereof except for design changes mentioned hereafter.

With reference to FIG. 10, there is a group having video data pieces “1”and “2”. The cut number assigned to the group is 3. Thus, three 5-secondcuts “1”, “2”, and “3” are to be extracted from the video data pieces“1” and “2”. Since only the two video data pieces are in the group, itis difficult to extract three 5-second cuts from the two video datapieces in the first embodiment of this invention.

According to the third embodiment of this invention, two or three cutsare extracted from the two video data pieces in one of the followingfirst, second, third, and fourth ways.

FIG. 11 relates to the first way in which the cut extracting section 160compares the number of video data pieces in the group with the cutnumber assigned thereto, and thereby decides whether or not thevideo-data-piece number is less than the cut number. When thevideo-data-piece number is less than the cut number, the cut extractingsection 160 compares the play times of the in-group video data pieceswith each other to detect the longest video data piece. Then, the cutextracting section 160 extracts 5-second head portions from the in-groupvideo data pieces as cuts, respectively. Furthermore, the cut extractingsection 160 extracts a 5-second central portion from the longest videodata piece as another cut. In FIG. 11, 5-second head portions areextracted from the video data pieces “1” and “2” as cuts “1” and “2”,respectively. Since the video data piece “2” is the longest, a 5-secondcentral portion is extracted therefrom as a cut “3”. It should be notedthat a 5-second off-center portion may be extracted from the video datapiece “2” as a cut “3”.

FIG. 12 relates to the second way in which the cut extracting section160 compares the number of video data pieces in the group with the cutnumber assigned thereto, and thereby decides whether or not thevideo-data-piece number is less than the cut number. When thevideo-data-piece number is less than the cut number, the cut extractingsection 160 compares the play times of the in-group video data pieceswith each other to detect the longest video data piece. Then, the cutextracting section 160 extracts a 5-second head portion or portions fromthe non-longest video data piece or pieces in the group as a cut orcuts. Furthermore, the cut extracting section 160 extracts a 10-secondhead portion from the longest video data piece as another cut. In FIG.12, the video data piece “2” is the longest. Accordingly, a 5-secondhead portion is extracted from the video data piece “1” as a cut “1”while a 10-second head portion is extracted from the video data piece“2” as a cut “2”.

FIG. 13 relates to the third way in which the cut extracting section 160compares the number of video data pieces in the group with the cutnumber assigned thereto, and thereby decides whether or not thevideo-data-piece number is less than the cut number. When thevideo-data-piece number is less than the cut number, the cut extractingsection 160 subtracts the video-data-piece number from the cut number.Then, the cut extracting section 160 multiplies the cut time length “t”(5 seconds) by the result of the subtraction. Subsequently, the cutextracting section 160 divides the result of the multiplication by thevideo-data-piece number. The cut extracting section 160 calculates theaddition value equal to the cut time length “t” plus the result of thedivision. The cut extracting section 160 extracts head portions, whichhave a play time equal to the calculated addition value, from thein-group video data pieces to generate cuts. In FIG. 13, the number ofvideo data pieces in the group is 2 and the cut number assigned theretois 3, so that the result of the subtraction therebetween is equal to 1.The result of the multiplication between the cut time length “t” (5seconds) and the subtraction result is equal to 5 seconds. The result ofdividing the multiplication result by the video-data-piece number isequal to 2.5 seconds. The addition value, that is, the cut time length“t” plus the division result, is equal to 7.5 seconds. Accordingly,7.5-second head portions are extracted from the data pieces “1” and “2”as cuts “1” and “2”, respectively.

In the fourth way, the cut extracting section 160 compares the number ofvideo data pieces in the group with the cut number assigned thereto, andthereby decides whether or not the video-data-piece number is less thanthe cut number. When the video-data-piece number is less than the cutnumber, the cut extracting section 160 extracts 5-second head portionsfrom the in-group video data pieces as cuts, respectively. The cutextracting section 160 does not implement additional cut extraction.

As previously mentioned, in the event that the number of video datapieces in a group is less than the cut number assigned thereto, a cut orcuts are increased in time length. The increase in the cut time lengthenables the contents of the resultant digest data to be more easilyunderstood by the user.

Fourth Embodiment

A fourth embodiment of this invention is similar to one of the first tothird embodiments thereof except that the digest data generatingapparatus 100 is provided in a digital still camera, an image filestorage apparatus, a personal computer, a recorder apparatus, or anotherelectronic apparatus.

What is claimed is:
 1. A digest data generating apparatus, comprising: adigest time deciding section for deciding a digest time being a playtime of digest data on the basis of a total play time of a plurality oforiginal moving picture data pieces; a grouping section for classifyingthe original moving picture data pieces into groups according toprescribed rules; a moving picture data extracting section forextracting digest moving picture data pieces from the original movingpicture data pieces on the basis of a total play time of an originalmoving picture data piece or pieces in each of the groups, the number ofthe original moving picture data piece or pieces in each of the groups,and the digest time decided by the digest time deciding section; and areproduction controlling section performing control for sequentiallyreproducing the digest moving picture data pieces extracted by themoving picture data extracting section in a prescribed order as digestdata; wherein the moving picture data extracting section comprises: anextracted data piece number deciding section for deciding a partialdigest time assigned to each of the groups on the basis of a total playtime of the original moving picture data piece or pieces in each of thegroups, the number of the original moving picture data piece or piecesin each of the groups, and the digest time decided by the digest timedeciding section, and for deciding an extracted data piece numberassigned to each of the groups on the basis of the decided partialdigest time and an extraction unit time length concerning the digestmoving picture data pieces which is determined according to given rules;and an extraction implementing section for extracting a digest movingpicture data piece or pieces from the original moving picture data pieceor pieces in each of the groups on the basis of the extracted data piecenumber decided by the extracted data piece number deciding section.